Samuel Haaf
Impact in
- Radiation top 5%
- Advanced Radiotherapy Techniques
- Developmental Neuroscience top 10%
- Anesthesia and Neurotoxicity Research
Papers in
-
- COVID-19 diagnosis using AI 2
- Radiomics and Machine Learning in Medical Imaging 1
-
- Advanced X-ray and CT Imaging 2
- Medical Imaging and Analysis 2
- Co-authors
- Timothy D. Solberg (5 shared papers)Vasant Kearney (5 shared papers)Jason W. Chan (3 shared papers)Martina Descovich (1 shared paper)Atchar Sudhyadhom (3 shared papers)Gilmer Valdés (1 shared paper)Mark Coburn (1 shared paper)Oliver Kunitz (1 shared paper)
- Journals
- Physics in Medicine and Biology (2 papers)Medical Physics (1 paper)British Journal of Anaesthesia (1 paper)Radiotherapy and Oncology (1 paper)International Journal of Radiation Oncology*Biology*Physics (1 paper)
- Partner nations
- United StatesGermany
In The Last Decade
Samuel Haaf
7 papers receiving 326 citations
Peers
Comparison fields: 5 of 43
- Radiation 167
- Developmental Neuroscience 61
- Health Informatics 9
- Radiology, Nuclear Medicine and Imaging 123
- Critical Care and Intensive Care Medicine 17
Countries citing papers authored by Samuel Haaf
This map shows the geographic impact of Samuel Haaf's research. It shows the number of citations coming from papers published by authors working in each country. You can also color the map by specialization and compare the number of citations received by Samuel Haaf with the expected number of citations based on a country's size and research output (numbers larger than one mean the country cites Samuel Haaf more than expected).
Fields of papers citing papers by Samuel Haaf
This network shows the impact of papers produced by Samuel Haaf. Nodes represent research fields, and links connect fields that are likely to share authors. Colored nodes show fields that tend to cite the papers produced by Samuel Haaf. The network helps show where Samuel Haaf may publish in the future.
Co-authors
The 15 scholars most cited alongside Samuel Haaf, linked wherever they have co-authored with each other. Click a name or a connecting line to browse the papers they share.
All Works
| # | Work | ||
|---|---|---|---|
| 1 | 2018 | 164 | |
| 2 | 2004 | 69 | |
| 3 | 2018 | 51 | |
| 4 | 2019 | 43 | |
| 5 | 2019 | 1 | |
| 6 | 2018 | 1 | |
| 7 | Devitrification Rates of Fused Silica in the Presence of Trace Impurities | 2016 | 1 |
About Samuel Haaf
Samuel Haaf is a scholar working on Radiology, Nuclear Medicine and Imaging, Biomedical Engineering, Radiation, Otorhinolaryngology and Pulmonary and Respiratory Medicine, having authored 7 papers that have together received 330 indexed citations. Recurring topics across this work include Advanced Radiotherapy Techniques (3 papers), Advanced X-ray and CT Imaging (2 papers), COVID-19 diagnosis using AI (2 papers), Medical Imaging and Analysis (2 papers), Dental Radiography and Imaging (1 paper), Radiomics and Machine Learning in Medical Imaging (1 paper), Head and Neck Cancer Studies (1 paper) and Anesthesia and Neurotoxicity Research (1 paper). The work is most often cited by research in Radiation (167 citations), Developmental Neuroscience (61 citations), Health Informatics (9 citations), Radiology, Nuclear Medicine and Imaging (123 citations) and Critical Care and Intensive Care Medicine (17 citations). Samuel Haaf has collaborated with scholars based in United States and Germany. Frequent co-authors include Timothy D. Solberg, Vasant Kearney, Jason W. Chan, Martina Descovich, Atchar Sudhyadhom, Gilmer Valdés, Mark Coburn, Oliver Kunitz, Rolf Rossaint and J.‐H. Baumert. Their work appears in journals such as Physics in Medicine and Biology, Medical Physics, British Journal of Anaesthesia, Radiotherapy and Oncology and International Journal of Radiation Oncology*Biology*Physics.
Rankless uses publication and citation data sourced from OpenAlex, an open and comprehensive bibliographic database. While OpenAlex provides broad and valuable coverage of the global research landscape, it—like all bibliographic datasets—has inherent limitations. These include incomplete records, variations in author disambiguation, differences in journal indexing, and delays in data updates. As a result, some metrics and network relationships displayed in Rankless may not fully capture the entirety of a scholar's output or impact.